Senior AI Engineer II

Posted Yesterday
Be an Early Applicant
3 Locations
Hybrid
Senior level
Fintech • Financial Services
The Role
Build and ship production-grade agentic AI systems and LLM-powered features. Architect RAG pipelines over sensitive financial data, contribute shared AI infrastructure, own production reliability and safety, and collaborate with product and design to deliver customer-focused outcomes in a regulated environment.
Summary Generated by Built In

The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also provide product management for core enterprise platforms, and lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company.

At American Express, AI is reshaping the future of commerce and redefining the experiences our commercial customers and card members expect. Within Amex Technology, we are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the enterprise.

Our focus is on agentic AI development: designing intelligent, adaptive systems that can plan, reason, and act across complex workflows with appropriate levels of autonomy. These systems power autonomous workflows, decision support, and customer-facing experiences—while meeting the high standards for security, explainability, reliability, and compliance required in financial services.

We partner closely with product, design, and business teams to deliver agentic capabilities that reduce operational friction, improve decision-making, and transform how customers interact, transact, and grow.

As a Senior AI Engineer – Agentic AI, you will be a core builder responsible for turning complex, ambiguous problems into production-grade agentic systems that operate on real financial data, serve real customers, and meet real regulatory requirements.

You will work end to end: shaping solutions with product and design, building and shipping production code, and owning what you deliver after launch. The scope of this role spans customer-facing LLM-powered features, agentic systems that automate financial workflows, and internal AI capabilities that enable other engineers to build with AI safely and efficiently.

This is not a research-only role. We are looking for engineers who are comfortable operating with autonomy, exercising sound judgment, and pushing the technical envelope within the realities of a regulated financial environment.

Technical Environment

We don’t hire to a narrow checklist, but candidates should be comfortable operating in a modern, enterprise-scale environment with a strong emphasis on agentic AI

Core engineering stack

  • Languages: Python, Go, TypeScript
  • Cloud and infrastructure: AWS and/or GCP, Kubernetes
  • APIs and services: REST, gRPC
  • Distributed systems: event-driven architectures, including Kafka

Agentic AI and ML

  • Commercial and open-source LLMs integrated into agentic workflows
  • Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation
  • Strong schema, validation, and state management practices

AI-assisted development

  • Fluency with AI-assisted and agentic development workflows for design, implementation, testing, debugging, and refactoring
  • Thoughtful use of these tools while maintaining production-quality engineering standards
  • All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment.
Responsibilities
  • Design, build, and ship LLM-powered and agentic product features that change how customers manage their finances.
  • Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.
  • Architect and implement production-grade RAG pipelines over sensitive financial data, with strict requirements for correctness, auditability, and safety.
  • Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation and monitoring tooling, that scales agentic development across Amex Technology.
  • Own the systems you build in production, including reliability, latency, cost, and failure modes.
  • Work closely with product and design partners; engineers in this role are expected to think in terms of customer outcomes, not just technical execution.
Qualifications

Minimum Qualifications:

  • Proven software engineering experience, including meaningful production experience with LLMs or applied ML systems.
  • A track record of shipping AI-powered or agentic systems that real users depend on.
  • Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
  • Hands-on experience with modern LLM tooling and agentic patterns and architectures.
  • Fluency with AI-assisted and agentic development workflows.
  • Strong sense of ownership and sound technical judgment.
  • Comfort operating with ambiguity and turning it into shipped reliable product.
  • A strong product mindset and customer orientation.

Preferred Qualifications

  • Experience building agentic systems in fintech or other regulated industries.
  • Experience as a founding engineer or early technical contributor in high-growth environments.
  • Demonstrated ability to ship technically complex systems in regulated contexts that customers actively rely on.
  • Meaningful open-source contributions, particularly in AI or developer tooling.

Employment eligibility to work with American Express in the UK is required as the company will not pursue visa sponsorship for these positions.  

About Us

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

About the Team

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

  • Competitive base salaries
  • Bonus incentives
  • Support for financial-well-being and retirement
  • Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
  • Generous paid parental leave policies (depending on your location)
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
  • Free and confidential counseling support through our Healthy Minds program
  • Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Skills Required

  • Proven software engineering experience, including meaningful production experience with LLMs or applied ML systems
  • Track record of shipping AI-powered or agentic systems used by real users
  • Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure
  • Hands-on experience with modern LLM tooling and agentic patterns and architectures
  • Fluency with AI-assisted and agentic development workflows
  • Experience with languages: Python, Go, TypeScript
  • Experience with cloud and infra: AWS and/or GCP, Kubernetes
  • Experience with APIs and services: REST, gRPC
  • Experience with distributed/event-driven systems such as Kafka
  • Ability to architect and implement production-grade RAG pipelines, vector storage, and agent orchestration with strong validation and auditability
  • Strong sense of ownership, sound technical judgment, product mindset, and customer orientation
  • Comfort operating with ambiguity and delivering reliable production products
  • Employment eligibility to work with American Express in the UK (company will not pursue visa sponsorship)
  • Experience building agentic systems in fintech or other regulated industries
  • Experience as a founding engineer or early technical contributor in high-growth environments
  • Demonstrated ability to ship technically complex systems in regulated contexts
  • Meaningful open-source contributions, particularly in AI or developer tooling

American Express Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about American Express and has not been reviewed or approved by American Express.

  • Healthcare Strength Pay is often viewed as attractive when combined with comprehensive health, dental, and vision coverage that supports day-to-day needs. The benefits package is also framed as especially helpful for those supporting dependents.
  • Retirement Support Retirement benefits are positioned as a meaningful part of total rewards through a 401(k) plan with company matching. Financial wellness services and coaching are also highlighted as strengthening longer-term financial security.
  • Leave & Time Off Breadth Paid time off is repeatedly characterized as generous and a valued component of the overall package. Time off and flexibility are presented as helping the total rewards feel more complete beyond base salary.

American Express Insights

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The Company
HQ: New Delhi, Delhi
100,703 Employees
Year Founded: 1850

What We Do

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more. For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.

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